Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-27T14:04:46.508Z Has data issue: false hasContentIssue false

Determinants of disability among the elderly population in a rural south Indian community: the need to study local issues and contexts

Published online by Cambridge University Press:  21 September 2011

A. S. Duba
Affiliation:
Department of Psychiatry, Christian Medical College, Vellore, India
A. P. Rajkumar
Affiliation:
Department of Psychiatry, Christian Medical College, Vellore, India
M. Prince
Affiliation:
Institute of Psychiatry, London. UK
K. S. Jacob*
Affiliation:
Department of Psychiatry, Christian Medical College, Vellore, India
*
Correspondence should be addressed to: K.S. Jacob, Professor of Psychiatry, Christian Medical College, Vellore-632002, Tamil Nadu, India. Phone: +91 416 228 4513; Fax: +91 416 226 2268. Email: ksjacob@cmcvellore.ac.in.
Get access

Abstract

Background: Disability among the elderly is a cause of significant burden. There is dearth of relevant research from low- and middle-income countries. We aimed to establish the nature and factors associated with disability among the elderly in a rural south Indian community.

Methods: We recruited 1000 participants aged over 65 years from Kaniyambadi block, Vellore, India. We assessed their disability status, sociodemographic profile, psychiatric morbidity, cognitive functioning and anthropometrics using the following structured instruments: WHO Disability Assessment Scale II, Geriatric Mental State, Community Screening Instrument for Dementia, and Neuropsychiatric Inventory. We employed appropriate multivariate statistics to study the factors associated with a higher level of disability and to determine the population attributable fractions for various modifiable risk factors.

Results: Advanced age, illiteracy, hunger, poor nutrition, arthritis, hearing impairment, gastro-intestinal and respiratory diseases, dementia and travel costs to primary health facilities increased the risk of disability significantly. Hypertension, diabetes and depression were not associated with disability. Modifiable social determinants and medical diseases together contributed to disability in this population.

Conclusion: Locally relevant social determinants combine with prevalent medical diseases to produce the disability burden among elderly. There is a need to focus on local contexts and modifiable risk factors to design locally appropriate public health policies and interventions.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Al Hazzouri, AZ., Mehio Sibai, A., Chaaya, M., Mahfoud, Z. and Yount, K. M. (2011). Gender differences in physical disability among older adults in underprivileged communities in Lebanon. Journal of Aging and Health, 23, 367382.Google Scholar
Balzi, D. et al. (2010). Risk factors for disability in older persons over 3-year follow-up. Age and Ageing, 39, 9298.CrossRefGoogle Scholar
Beydoun, M. A. and Popkin, B. M. (2005). The impact of socio-economic factors on functional status decline among community-dwelling older adults in China. Social Science and Medicine, 60, 20452057.CrossRefGoogle ScholarPubMed
Copeland, J. R., Dewey, M. E. and Griffith-Jones, H. M. (1986). A computerized psychiatric diagnostic system and case nomenclature for elderly subjects: GMS and AGECAT. Psychological Medicine, 16, 8999.CrossRefGoogle ScholarPubMed
Copeland, J. R., Prince, M., Wilson, K. C., Dewey, M. E., Payne, J. and Gurland, B. (2002). The Geriatric Mental State Examination in the 21st century. International Journal of Geriatric Psychiatry, 17, 729732.CrossRefGoogle Scholar
Crewe, N. M. (1991). Ageing and severe physical disability: patterns of change and implications for services. International Disability Studies, 13, 158161.Google Scholar
Cummings, J. L., Mega, M., Gray, K., Rosenberg-Thompson, S., Carusi, D. A. and Gornbein, J. (1994). The Neuropsychiatric Inventory: comprehensive assessment of psychopathology in dementia. Neurology, 44, 23082314CrossRefGoogle ScholarPubMed
Daniel, M. (2007). Measuring Disability Prevalence. Disability and development team HDNSP. Available at: http://siteresources.worldbank.org/SOCIALPROTECTION/Resources/SP-Discussion-papers/Disability-DP/0706.pdf; last accessed 5 March 2011.Google Scholar
Ganguli, M. et al. (1996). Cognitive test performance in a community-based nondemented elderly sample in rural India: the Indo-US Cross-National Dementia Epidemiology Study. International Psychogeriatrics, 8, 507524.CrossRefGoogle Scholar
Hall, K. S., Hendrie, H. C. and Brittain, H. M. (1993). The development of a dementia screening interview in two distinct languages. International Journal of Methods in Psychiatric Research, 3, 128.Google Scholar
Jacob, K. S., Senthil Kumar, P., Gayathri, K., Abraham, S. and Prince, M. J. (2007a). The diagnosis of dementia in the community. International Psychogeriatrics, 19, 669678.CrossRefGoogle ScholarPubMed
Jacob, K. S., Senthil Kumar, P., Gayathri, K., Abraham, S. and Prince, M. J. (2007b). Can health workers diagnose dementia in the community? Acta Psychiatrica Scandinavica, 116, 125128.CrossRefGoogle ScholarPubMed
Joseph, A., Joseph, K. S. and Kamaraj, K. (1991). Use of computers in primary health care. International Journal of Health Sciences, 2, 93101.Google Scholar
Joshi, K., Kumar, R. and Avasthi, A. (2003). Morbidity profile and its relationship with disability and psychological distress among elderly people in Northern India. International Journal of Epidemiology, 32, 978987.CrossRefGoogle ScholarPubMed
Medhi, G. K., Hazarika, N. C., Borah, P. K. and Mahanta, J. (2006). Health problems and disability of elderly individuals in two population groups from same geographical location. Journal of Association of Physicians in India, 54, 539544.Google Scholar
Newman, S. C., Sheldon, C. T. and Bland, R. C. (1998). Prevalence of depression in an elderly community sample: a comparison of GMS-AGECAT and DSM-IV diagnostic criteria. Psychological Medicine, 28, 13391345.CrossRefGoogle Scholar
Prince, M., Acosta, D., Chiu, H., Scazufca, M. and Varghese, M. (2003). 10/66 Dementia Research Group. Dementia diagnosis in developing countries: a cross-cultural validation study. Lancet, 361, 909917.CrossRefGoogle Scholar
Ragin, C. (1994) Constructing Social Research. Thousand Oaks, CA: Pine Forge Press, Sage.Google Scholar
Rajkumar, S, Kumar, S. and Thara, R. (1997). Prevalence of dementia in a rural setting: a report from India. International Journal of Geriatric Psychiatry, 12, 702707.3.0.CO;2-H>CrossRefGoogle Scholar
Rajkumar, A. P., Thangadurai, P., Senthilkumar, P., Gayathri, K., Prince, M. and Jacob, K. S. (2009). Nature, prevalence and factors associated with depression among the elderly in a rural south Indian community. International Psychogeriatrics, 21, 372378.CrossRefGoogle Scholar
Robinson, N. (1990). Disability and diabetes. International Disability Studies, 12, 2831.CrossRefGoogle ScholarPubMed
Sauvaget, C., Yamada, M., Fujiwara, S., Sasaki, H. and Mimori, Y. (2002). Dementia as a predictor of functional disability: a four-year follow-up study. Gerontology, 48, 226233.CrossRefGoogle ScholarPubMed
Sousa, M. S. et al. (2009). Contribution of chronic diseases to disability in elderly people in countries with low and middle incomes: a 10/66 Dementia Research Group population-based survey. Lancet, 374, 18211830.CrossRefGoogle Scholar
Srinivasan, K., Vaz, M. and Thomas, T. (2010). Prevalence of health related disability among community dwelling urban elderly from middle socioeconomic strata in Bangaluru, India. Indian Journal of Medical Research, 131, 515521.Google ScholarPubMed
Stanley, R. et al. (2009). The Vellore screening instruments and strategies for the diagnosis of dementia in the community. International Psychogeriatrics, 21, 539547.CrossRefGoogle ScholarPubMed
Taş, U. et al. (2007). Incidence and risk factors of disability in the elderly: the Rotsterdam Study. Preventive Medicine, 44, 272278.CrossRefGoogle ScholarPubMed
UNESCAP (2006). Disability Statistics: India. 4th Workshop on Improving Disability Statistics. Available at: http://www.unescap.org/stat/meet/widsm4/disability_India.pdf; last accessed 5 March 2011.Google Scholar
von Korff, M et al. (2008). Modified WHODAS-II provides valid measure of global disability but filter items increased skewness. Journal of Clinical Epidemiology, 61, 11321143.CrossRefGoogle ScholarPubMed
World Health Organization (2001). WHODAS II Disability Assessment Schedule: 12-item Interviewer Administered Version. Geneva: WHO.Google Scholar